Package: MCMC4Extremes 1.1

Fernando Ferraz do Nascimento

MCMC4Extremes: Posterior Distribution of Extreme Value Models in R

Provides some function to perform posterior estimation for some distribution, with emphasis to extreme value distributions. It contains some extreme datasets, and functions that perform the runs of posterior points of the GPD and GEV distribution. The package calculate some important extreme measures like return level for each t periods of time, and some plots as the predictive distribution, and return level plots.

Authors:Fernando Ferraz do Nascimento [aut, cre], Wyara Vanesa Moura e Silva [aut, ctb]

MCMC4Extremes_1.1.tar.gz
MCMC4Extremes_1.1.tar.gz(r-4.5-noble)MCMC4Extremes_1.1.tar.gz(r-4.4-noble)
MCMC4Extremes_1.1.tgz(r-4.4-emscripten)MCMC4Extremes_1.1.tgz(r-4.3-emscripten)
MCMC4Extremes.pdf |MCMC4Extremes.html
MCMC4Extremes/json (API)

# Install 'MCMC4Extremes' in R:
install.packages('MCMC4Extremes', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • barcelos - 30-day maxima rainfall at Barcelos Station
  • fajardo - 15-day maxima river food at Fajardo River
  • gurgueia - Daily river quota of Gurgueia River.
  • ibovespa - Daily returns of ibovespa

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 236 downloads 19 exports 1 dependencies

Last updated 9 years agofrom:f4ac4f621d. Checks:2 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKJan 31 2025
R-4.5-linuxOKJan 31 2025

Exports:dggevgammapgevpggevpgpdpgumbelpnormalppggevplot.gevpplot.ggevpplot.gpdpplot.gumbelpplot.normalpqggevrggevsummary.gevpsummary.ggevpsummary.gpdpsummary.gumbelp

Dependencies:evir